Publications by Tag

The following tags appear in the publications listed in the review:

AAAI ACCV ACL Arxiv BMVC CIKM CIVR CNN CVPR CVPRW Case Study Cross-Modal Dataset Deep Hashing Deep Learning ECCV ECIR FOCS GAN Has Code Hash Code ICCV ICIP ICLR ICME ICML ICMR ICPR IJCAI IJCV Image Retrieval JCSS KDD LSH LSTM MM NAACL NIPS Quantisation RNN SCG SDM SIGIR SIGMOD Self-Supervised Semi-Supervised Skewed Data Spectral Streaming Data Supervised Survey Paper TIP TNNLS TOM TPAMI Text Retrieval Unsupervised VLDB Video Retrieval WWW Weakly Supervised

Tags

See below a list of all tags and the related papers

🏷 AAAI

• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
• Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes Z. Wang, L. Duan, T. Huang, W. Gao
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua
• Online Hashing with Efficient Updating of Binary Codes Zhenyu Weng, Yuesheng Zhu

🏷 ACCV

• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero

🏷 ACL

• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao

🏷 Arxiv

• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua

🏷 BMVC

• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

🏷 CIKM

• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin

🏷 CIVR

• NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng

🏷 CNN

• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert

🏷 CVPR

• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Spherical Hashing J. Heo, Y. Lee, J. He, S. Chang, S. Yoon
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Locally Linear Hashing for Extracting Non-Linear Manifolds G. Irie, Z. Li, X. Wu, S. Chang
• Collective Matrix Factorization Hashing for Multimodal data G. Ding, Y. Guo, J. Zhou
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Hashing as Tie-Aware Learning to Rank K. He, F. Cakir, S. Bargal, S. Sclaroff
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• K-Nearest Neighbors Hashing Xiangyu He, Peisong Wang, Jian Cheng
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu

🏷 CVPRW

• Adaptive Labeling for Deep Learning to Hash Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen

🏷 Case Study

• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza

🏷 Cross-Modal

• Learning hash functions for cross-view similarity search S. Kumar, R. Udupa
• Co-Regularized Hashing for Multimodal Data Y. Zhen, D. Yeung
• Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
• Comparing apples to oranges: a scalable solution with heterogeneous hashing M. Ou, P. Cui, F. Wang, J. Wang, W. Zhu, S. Yang
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Collective Matrix Factorization Hashing for Multimodal data G. Ding, Y. Guo, J. Zhou
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision Yi Zhen, Piyush Rai, Hongyuan Zha, and Lawrence Carin
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu and Jianmin Wang
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization Donglin Zhang, Xiaojun Wu, Zhen Liu, Jun Yu, Josef Kittler
• Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, Yumin Tian
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval Zhan Yang, Jun Long, Lei Zhu, Wenti Huang
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• High-order nonlocal Hashing for unsupervised cross-modal retrieval Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu, Jingkuan Song

🏷 Dataset

• The MNIST Database of Handwritten Digits Y. LeCun, C. Cortes, C. Burges
• LabelMe: a database and web-based tool for image annotation B. Russell, A. Torralba, K. Murphy, W. T. Freeman
• The MIR Flickr Retrieval Evaluation. M. J. Huiskes, M. S. Lew
• ImageNet: A large-scale hierarchical image database J. Deng, W. Dong, R. Socher, L. Li, K. Li, L. Fei-Fei
• Learning Multiple Layers of Features from Tiny Images A. Krizhevsky
• NUS-WIDE: a real-world web image database from National University of Singapore T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng
• A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. Lanckriet, R.Levy and N. Vasconcelos
• Microsoft COCO: Common Objects in Context Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, Piotr Dollar

🏷 Deep Hashing

• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao
• SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua
• Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu

🏷 Deep Learning

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Simultaneous Feature Learning and Hash Coding with Deep Neural Networks H. Lai, Y. Pan, Y. Liu, S. Yan
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M. Rastegari, V. Ordonez, J. Redmon, A. Farhadi
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Adaptive Labeling for Deep Learning to Hash Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Content-aware Neural Hashing for Cold-start Recommendation Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Auto-Encoding Twin-Bottleneck Hashing Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao
• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie
• Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings Pedro Morgado, Yunsheng Li, Jose Costa Pereira, Mohammad Saberian, Nuno Vasconcelos

🏷 ECCV

• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu.
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie

🏷 ECIR

• Graph Regularised Hashing S. Moran, V. Lavrenko

🏷 FOCS

• Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions A. Andoni, P. Indyk

🏷 GAN

• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu

🏷 Has Code

• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Semantic Hashing R. Salakhutdinov, G. Hinton
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• The Power of Asymmetry in Binary Hashing B. Neyshabur, R. Salakhutdinov, N. Srebro
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Learning Hash Functions Using Column Generation X. Li, G. Lin, C. Shen, A. Hengel, A. Dick
• Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• HashNet: Deep Learning to Hash by Continuation Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Hashing as Tie-Aware Learning to Rank K. He, F. Cakir, S. Bargal, S. Sclaroff
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu

🏷 Hash Code

• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng

🏷 ICCV

• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Complementary Projection Hashing Z. Jin, Y. Hu, Y. Lin, D. Zhang, S. Lin, D. Cai, X. Li
• Supervised binary hash code learning with jensen shannon divergence Lixin Fan
• Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen
• An NMF perspective on Binary Hashing Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes and Vikas Singh
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• kNN Hashing with Factorized Neighborhood Representation Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan
• Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Accelerate Learning of Deep Hashing With Gradient Attention Long-Kai Huang, Jianda Chen, Sinno Jialin Pan
• Maximum-Margin Hamming Hashing Rong Kang, Yue Cao, Mingsheng Long (B), Jianmin Wang, and Philip S. Yu
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong

🏷 ICIP

• Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin

🏷 ICLR

• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner

🏷 ICME

• A New Approach to Cross-Modal Multimedia Retrieval N. Rasiwasia, J. Costa Pereira, E. Coviello, G. Doyle, G. Lanckriet, R.Levy and N. Vasconcelos

🏷 ICML

• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Learning Hash Functions Using Column Generation X. Li, G. Lin, C. Shen, A. Hengel, A. Dick
• Circulant Binary Embedding F. Yu, S. Kumar, Y. Gong, S. Chang
• Hashing for Distributed Data Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang and Hanqing Lu
• Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya K. Ryali, John J. Hopfield, Leopold Grinberg, Dmitry Krotov

🏷 ICMR

• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang

🏷 ICPR

• Fast Discrete Cross-Modal Hashing Based on Label Relaxation and Matrix Factorization Donglin Zhang, Xiaojun Wu, Zhen Liu, Jun Yu, Josef Kittler
• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Label Self-Adaption Hashing for Image Retrieval Jianglin Lu, Zhihui Lai, Hailing Wang, Jie Zhou

🏷 IJCAI

• Learning hash functions for cross-view similarity search S. Kumar, R. Udupa
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Scalable Graph Hashing with Feature Transformation Q. Jiang, W. Li
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu

🏷 IJCV

• Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings Pedro Morgado, Yunsheng Li, Jose Costa Pereira, Mohammad Saberian, Nuno Vasconcelos

🏷 Image Retrieval

• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Kernelized Locality-Sensitive Hashing for Scalable Image Search B. Kulis, K. Grauman
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Spherical Hashing J. Heo, Y. Lee, J. He, S. Chang, S. Yoon
• Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen
• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero
• Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu.
• Locally Linear Hashing for Extracting Non-Linear Manifolds G. Irie, Z. Li, X. Wu, S. Chang
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan and Xilin Chen
• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu and Bo Land
• Deep learning of binary hash codes for fast image retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval F. Zhao, Y. Huang, L. Wang, and T. Tan
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Learning to Project and Binarise for Hashing-Based Approximate Nearest Neighbour Search S. Moran
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks M. Rastegari, V. Ordonez, J. Redmon, A. Farhadi
• Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• Deep Cross-Modal Hashing Qing-Yuan Jiang, Wu-Jun Li
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Mingsheng Long, Bin Liu, Jiamin Wang
• Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Hashing with Binary Matrix Pursuit F. Cakir, K. He, S. Sclaroff
• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
• Deep Saliency Hashing for Fine-grained Retrieval Sheng Jin, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Lei Zhang, Xiansheng Hua
• Hierarchical Deep Hashing for Fast Large Scale Image Retrieval Yongfei Zhang, Cheng Peng, Zhang Jingtao, Xianglong Liu, Shiliang Pu, Changhuai Chen
• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok
• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin
• Label Self-Adaption Hashing for Image Retrieval Jianglin Lu, Zhihui Lai, Hailing Wang, Jie Zhou
• ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, and Osamu Yoshie
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang
• Long-Tail Hashing Yong Chen, Yuqing Hou, Shu Leng, Ping Hu, Zhouchen Lin, and Dell Zhang

🏷 JCSS

• Min-Wise Independent Permutations Andrei Z Broder,Moses Charikar,Alan M Frieze,Michael Mitzenmacher

🏷 KDD

• Very Sparse Random Projections Ping Li, Trevor J Hastie, Kenneth W. Church
• Comparing apples to oranges: a scalable solution with heterogeneous hashing M. Ou, P. Cui, F. Wang, J. Wang, W. Zhu, S. Yang
• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

🏷 LSH

• Locality-sensitive hashing scheme based on p-stable distributions M. Datar, N. Immorlica, P. Indyk, V. Mirrokni
• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan
• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza
• Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni

🏷 LSTM

• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou

🏷 MM

• Linear cross-modal hashing for efficient multimedia search Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Xin Zhao
• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval Chuan-Xiang Li , Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu
• Separated Variational Hashing Networks for Cross-Modal Retrieval Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
• A Two-step Cross-modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun
• Deep Hashing by Discriminating Hard Examples Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin Hancock
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu

🏷 NAACL

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko

🏷 NIPS

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Locality-sensitive binary codes from shift-invariant kernels M. Raginsky, S. Lazebnik
• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus
• Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning P. Jain, S. Vijayanarasimhan, K. Grauman
• Hamming Distance Metric Learning M. Norouzi, D. Fleet, R. Salakhutdinov
• Co-Regularized Hashing for Multimodal Data Y. Zhen, D. Yeung
• The Power of Asymmetry in Binary Hashing B. Neyshabur, R. Salakhutdinov, N. Srebro
• Discrete Graph Hashing W. Liu, C. Mu, S. Kumar, S. Chang
• Practical and Optimal LSH for Angular Distance A. Andoni, P. Indyk, T. Laarhoven
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian
• Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond L. Chen, H. Esfandiari, G. Fu, V. Mirrokni

🏷 Quantisation

• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Variable Bit Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso
• Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Learning Compact Binary Codes Z. Wang, L. Duan, T. Huang, W. Gao
• Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
• Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Push for Quantization: Deep Fisher Hashing Yunqiang Li, Wenjie Pei, Yufei zha, Jan van Gemert
• Variable-Length Quantization Strategy for Hashing Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin
• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok

🏷 RNN

• Deep Visual-Semantic Hashing for Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

🏷 SCG

• Locality-sensitive hashing scheme based on p-stable distributions M. Datar, N. Immorlica, P. Indyk, V. Mirrokni

🏷 SDM

• Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes C. Xiong, W. Chen, G. Chen, D. Johnson, J. Corso

🏷 SIGIR

• Manhattan Hashing for Large-Scale Image Retrieval W. Kong, W. Li, M. Guo
• Neighbourhood Preserving Quantisation for LSH S. Moran, V. Lavrenko, and M. Osborne
• Supervised Hashing with Latent Factor Models P. Zhang, W. Zhang, W. Li, M. Guo
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Learning to Project and Binarise for Hashing-Based Approximate Nearest Neighbour Search S. Moran
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang
• Deep Domain Adaptation Hashing with Adversarial Learning Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
• Fast Scalable Supervised Hashing Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Supervised Hierarchical Cross-Modal Hashing Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Unsupervised Semantic Hashing with Pairwise Reconstruction Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Content-aware Neural Hashing for Cold-start Recommendation Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, Yumin Tian
• Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval Zhan Yang, Jun Long, Lei Zhu, Wenti Huang
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• Long-Tail Hashing Yong Chen, Yuqing Hou, Shu Leng, Ping Hu, Zhouchen Lin, and Dell Zhang

🏷 SIGMOD

• Inter-Media Hashing for Large-Scale Retrieval from Heterogeneous Data Sources J. Song, Y. Yang, Y. Yang, Z. Huang, H. Shen

🏷 Self-Supervised

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong

🏷 Semi-Supervised

• SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua

🏷 Skewed Data

• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan

🏷 Spectral

• Spectral Hashing Y. Weiss, A. Torralba, R. Fergus

🏷 Streaming Data

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Adaptive Hashing for Fast Similarity Search F. Cakir, S. Sclaroff
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• MIHash: Online Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff

🏷 Supervised

• Semantic Hashing R. Salakhutdinov, G. Hinton
• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Semi-supervised hashing for scalable image retrieval J. Wang, S. Kumar, and S. Chang
• Fast supervised hashing with decision trees for high-dimensional data Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, and David Suter.
• Graph Cuts for Supervised Binary Coding T. Ge, K. He, J. Sun
• Large-scale supervised multimodal hashing with semantic correlation maximization D. Zhang, W. Li
• Supervised Hashing with Latent Factor Models P. Zhang, W. Zhang, W. Li, M. Guo
• Graph Regularised Hashing S. Moran, V. Lavrenko
• Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang and Lihuo He
• Top Rank Supervised Binary Coding for Visual Search Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith
• Deep Hashing for Compact Binary Codes Learning V. Liong, J. Lu, G. Wang, P. Moulin, J. Zhou
• Column Sampling Based Discrete Supervised Hashing Wang-Cheng Kang, Wu-Jun Li, Zhi-Hua Zhou
• Correlation Autoencoder Hashing for Supervised Cross-Modal Search Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
• Discretely Coding Semantic Rank Orders for Supervised Image Hashing Li Liu, Ling Shao, Fumin Shen, Mengyang Yu
• Deep Supervised Discrete Hashing Qi Li, Zhenan Sun, Ran He, Tieniu Tan
• Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, Weiping Wang
• Deep Semantic Hashing with Generative Adversarial Networks Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei
• Fast Scalable Supervised Hashing Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao
• Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin,Jiaxin Chen, Li Liu, and Fan Zhu
• Semi-supervised Deep Quantization for Cross-modal Search Xin Wang, Wenwu Zhu, Chenghao Liu
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff
• MoBoost: A Self-improvement Framework for Linear-based Hashing Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin
• Online Multi-modal Hashing with Dynamic Query-adaption Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie and Huaxiang Zhang
• Deep Supervised Hashing With Anchor Graph Yudong Chen, Zhihui Lai, Yujuan Ding, Kaiyi Lin, Wai Keung Wong
• Deep Collaborative Discrete Hashing with Semantic-Invariant Structure Zijian Wang, Zheng Zhang, Yadan Luo and Zi Huang
• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao
• Learning Space Partitions for Nearest Neighbor Search Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner

🏷 Survey Paper

• Learning Binary Hash Codes for Large-Scale Image Search Kristen Grauman, Rob Fergus
• A Survey on Learning to Hash Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, and Heng Tao Shen

🏷 TIP

• Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification R. Zhang, L. Lin, R. Zhang, W. Zuo, L. Zhang
• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Model Optimization Boosting Framework for Linear Model Hash Learning Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin

🏷 TNNLS

• Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao

🏷 TOM

• Learning to Hash with a Dimension Analysis-based Quantizer for Image Retrieval Yuan Cao; Heng Qi; Jie Gui; Keqiu Li; Yuan Yan Tang; James Tin-Yau Kwok

🏷 TPAMI

• Fast Similarity Search for Learned Metrics P. Jain, B. Kulis, K. Grauman
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Hashing with Mutual Information F. Cakir, K. He, S. Bargal, S. Sclaroff

🏷 Text Retrieval

• Streaming First Story Detection with application to Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Using paraphrases for improving first story detection in news and Twitter S. Petrovic, M. Osborne, V. Lavrenko
• Regularised Cross-Modal Hashing S. Moran, V. Lavrenko
• Enhancing First Story Detection using Word Embeddings S. Moran, R. McCreadie, C. Macdonald, I. Ounis
• Variational Deep Semantic Hashing for Text Documents Suthee Chaidaroon, Yi Fang

🏷 Unsupervised

• Very Sparse Random Projections Ping Li, Trevor J Hastie, Kenneth W. Church
• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Sequential projection learning for hashing with compact codes J. Wang, S. Kumar, S. Chang
• Hashing with Graphs W. Liu, J. Wang, S. Kumar, S. Chang
• Iterative Quantization: A Procrustean Approach to Learning Binary Codes Y. Gong, S. Lazebnik
• Multidimensional Spectral Hashing Y. Weiss, R. Fergus, A. Torralba
• Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing I. Torres-Xirau, J. Salvador, E. Pérez-Pellitero
• Hashing with Binary Autoencoders M. Carreira-Perpinan, R. Raziperchikolaei
• Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization Fumin Shen, Yan Xu, Li Liu, Yang Yang, Zi Huang, Heng Tao Shen
• Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval Shupeng Su, Zhisheng Zhong, Chao Zhang
• DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
• Unsupervised Neural Generative Semantic Hashing Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Unsupervised Semantic Hashing with Pairwise Reconstruction Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
• Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
• High-order nonlocal Hashing for unsupervised cross-modal retrieval Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu, Jingkuan Song

🏷 VLDB

• Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search Q. Lv, W. Josephson, Z. Wang, M. Charikar, K. Li
• Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden and Pradeep Dubey
• Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science Kexin Rong, Clara E. Yoon, Karianne J. Bergen, Hashem Elezabi,Peter Bailis, Philip Levis, Gregory C. Beroza

🏷 Video Retrieval

• Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao, Meng Wang, Richang Hong
• Neighborhood Preserving Hashing for Scalable Video Retrieval Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, Jie Zhou
• Central Similarity Hashing for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
• Central Similarity Quantization for Efficient Image and Video Retrieval Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
• Targeted Attack for Deep Hashing based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, En-hui Yang

🏷 WWW

• LSH Forest: Self-Tuning Indexes for Similarity Search M. Bawa, T. Condie, P. Ganesan
• High-order nonlocal Hashing for unsupervised cross-modal retrieval Peng-Fei Zhang, Yadan Luo, Zi Huang, Xin-Shun Xu, Jingkuan Song

🏷 Weakly Supervised

• Weakly Supervised Deep Image Hashing through Tag Embeddings Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
• Deep Semantic Text Hashing with Weak Supervision Suthee Chaidaroon, Travis Ebesu, Yi Fang